LOS ANGELES, Nov. 3, 2011 /PRNewswire/ -- Scalable Network Technologies, Inc. (SCALABLE), the leader in simulation technology for mobile networks, announced that the company was awarded an independent SBIR Phase II contract to develop the MUOS Modeling and Evaluation Environment (M2E2) toolkit. This capability will provide accurate technical and operational insights into the end-to-end performance of the DoD's Mobile User Objective System (MUOS), particularly as it scales up to large configurations. The award from Spawar System Center Pacific is follow-on to previous Navy SBIR efforts, with an estimated value of $850K (with options) over two years.
MUOS is a narrowband Military Satellite Communications (MILSATCOM) system that supports a worldwide, multi-service population of mobile and fixed-site terminal users in the Ultra High Frequency (UHF) band. In this contract, SCALABLE will develop high fidelity simulation models for MUOS along with a software-in-the-loop capability that enables integration with operational applications so that real applications, services and MUOS network management software can run seamlessly on top of the emulated MUOS network in M2E2.
Developed by SCALABLE and based on the company's EXata™ emulation engine, the M2E2 toolkit will operate in real-time and faster-than-real-time modes with large numbers of simulated MUOS terminals, while rendering detailed behavioral representations of the MUOS and connected JTRS networks.
End-to-end performance study and evaluation of a MUOS network is difficult in advance of the satellite deployment. With the MUOS system still under construction, the transition planning and performance study becomes a critical issue. According to Rajive Bagrodia, CEO of SCALABLE, "The capability of running real operational applications on top of a simulated high-fidelity MUOS network provides a functional and cost-effective solution to the MUOS community, particularly during early integration".
The option work for this contract includes development of the interface of M2E2 with MUOS network management system (NMS) software. This extends the use of M2E2 toolkit into training applications. By using real MUOS NMS software to manage virtual MUOS networks (emulated in EXata), a highly realistic and cost-effective training capability is possible without the need for bandwidth from the live MUOS satellite network.
The concept of M2E2 also holds potential in the area of performance study and training for emerging commercial wireless radio and communication technologies like WiMAX, 4G LTE and MIM. By employing a mix of live operational applications and emulated future communication infrastructure, it is possible to provide a highly realistic user-experience for training on next-generation commercial communication systems.
For more information on SCALABLE products, contact the company at firstname.lastname@example.org or call 310.703.1335. SCALABLE will be publicly demonstrating how its Software Virtual Network technology can be used in battlefield simulation and training applications at MILCOM 2011, November 7-10 in Baltimore, MD, booth #1124.
About Scalable Network Technologies
Based in Los Angeles, California, with multiple engineering facilities around the world, SCALABLE develops network simulation software that increases communications readiness in battlefield operations, network integration and cyber warfare. SCALABLE solutions integrate software virtual networks with physical hardware and applications, allowing users to rapidly test a wide range of highly realistic "what if" scenarios for better operational planning, more effective training and enhanced communications effectiveness.
SCALABLE also provides custom solutions and engineering support services for specific requirements to major aerospace and defense contractors, the US Department of Defense, mobile network operators, research agencies and universities.
QualNet and EXata are registered trademarks of Scalable Network Technologies, Inc. More information on the company is available at www.scalable-networks.com.
SOURCE Scalable Network Technologies, Inc.